Research Papers: Multiphase Flows

Drift-Flux Correlation of Oil–Water Flow in Horizontal Channels

[+] Author and Article Information
Somchai Baotong, Sunchai Nilsuwankosit

Department of Nuclear Engineering,
Faculty of Engineering,
Chulalongkorn University,
Wangmai, Patumwan,
Bangkok 10330, Thailand

Somboon Rassame

Department of Nuclear Engineering,
Faculty of Engineering,
Chulalongkorn University,
Wangmai, Patumwan,
Bangkok 10330, Thailand
e-mail: somboon.ra@chula.ac.th

Takashi Hibiki

School of Nuclear Engineering,
Purdue University,
400 Central Drive,
West Lafayette, IN 47907-2017

1Corresponding author.

Contributed by the Fluids Engineering Division of ASME for publication in the JOURNAL OF FLUIDS ENGINEERING. Manuscript received August 17, 2017; final manuscript received July 26, 2018; published online September 10, 2018. Assoc. Editor: Oleg Schilling.

J. Fluids Eng 141(3), 031301 (Sep 10, 2018) (11 pages) Paper No: FE-17-1506; doi: 10.1115/1.4041065 History: Received August 17, 2017; Revised July 26, 2018

An accurate and practical approach is necessary for predicting oil fraction in horizontal oil–water flows. In this study, a concept of a drift-flux model is adopted to develop a predictive method for the oil fraction in the horizontal oil–water flows due to its simplicity and practicality. A new drift-flux correlation for the horizontal oil–water flows is developed based on the least square method using collected experimental data. The distribution parameter is determined to be 1.05 for the data with the ratio of oil density to water density ranging from 0.787 to 1.00, whereas the oil fraction weighted mean drift velocity is set at 0 m/s due to the flow direction perpendicular to the gravity direction. The physical meaning for the order of unity of the distribution parameter is explained by introducing a simple model. The predictive capability of the new drift-flux correlation is examined using the collected database of oil–water flows in horizontal pipes under a variety of test conditions. It is demonstrated that the new drift-flux correlation can predict the existing oil fractions in the horizontal pipe channels with the mean absolute error, standard deviation, mean relative deviation, and mean absolute relative deviation being −0.0124, 0.0338, −3.25%, and 9.57%, respectively.

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Fig. 1

Flow conditions of collected data in the plane of oil fraction versus total mass flux

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Fig. 2

Oil–water two-phase flow regimes defined by Trallero [3]

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Fig. 3

Flow conditions of collected data in the plane of superficial oil velocity versus superficial water velocity

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Fig. 7

Drift-flux plot for each flow regime in horizontal oil–water flows (a) ST, (b) ST&MI, (c) D O/W and W, (d) D O/W&W/O, (e) D O/W, and (f) D W/O flow regime

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Fig. 8

Comparison of new drift-flux correlation with the correlation of Fujii et al. [10]

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Fig. 6

Drift-flux plot for horizontal oil–water flows

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Fig. 5

Calculated distribution parameter for stratified oil–water flow

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Fig. 4

Schematic diagram of modeled stratified oil–water flow between two infinite parallel plates



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